Title :
Novel Dry Polymer Foam Electrodes for Long-Term EEG Measurement
Author :
Lin, Chin-Teng ; Liao, Lun-De ; Liu, Yu-Hang ; Wang, I-Jan ; Lin, Bor-Shyh ; Chang, Jyh-Yeong
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
5/1/2011 12:00:00 AM
Abstract :
A novel dry foam-based electrode for long-term EEG measurement was proposed in this study. In general, the conventional wet electrodes are most frequently used for EEG measurement. However, they require skin preparation and conduction gels to reduce the skin-electrode contact impedance. The aforementioned procedures when wet electrodes were used usually make trouble to users easily. In order to overcome the aforesaid issues, a novel dry foam electrode, fabricated by electrically conductive polymer foam covered by a conductive fabric, was proposed. By using conductive fabric, which provides partly polarizable electric characteristic, our dry foam electrode exhibits both polarization and conductivity, and can be used to measure biopotentials without skin preparation and conduction gel. In addition, the foam substrate of our dry electrode allows a high geometric conformity between the electrode and irregular scalp surface to maintain low skin-electrode interface impedance, even under motion. The experimental results presented that the dry foam electrode performs better for long-term EEG measurement, and is practicable for daily life applications.
Keywords :
bioelectric potentials; biomedical electrodes; biomedical measurement; electroencephalography; polarisability; polymer foams; skin; biopotentials; dry polymer foam electrodes; electric polarizability; electrical conductive polymer foam; geometric conformity; long-term EEG measurement; skin-electrode interface impedance; Electrodes; Electroencephalography; Fabrics; Forehead; Impedance; Scalp; Skin; Biopotentials; conduction gel; dry electrode; electroencephalography; skin–electrode interfaces impedance; Electric Conductivity; Electrodes; Electroencephalography; Forehead; Hair; Humans; Models, Theoretical; Monitoring, Physiologic; Polyurethanes; Skin;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2010.2102353